{"id":"W7112918134","doi":"","title":"Electron beam weld modelling for near-β Ti-alloy","year":2025,"lang":"en","type":"article","venue":"Research Explorer (The University of Manchester)","topic":"Titanium Alloys Microstructure and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Weldability; Residual stress; Welding; Aerospace; Service life; Material properties; Corrosion; Electron beam welding; Distortion (music)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002632105,0.0005446899,0.0003560068,0.0005143202,0.0003350395,0.0008148491,0.0009718729,0.001630018,0.006589432],"category_scores_gemma":[0.0005476494,0.0004194989,0.0008050109,0.0005441557,0.0002024973,0.0004061019,0.0003264735,0.0003997891,0.001188595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006625405,"about_ca_system_score_gemma":0.0006699105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01608915,"about_ca_topic_score_gemma":0.01085055,"domain_scores_codex":[0.9999018,0.00001358741,0.000006243797,0.00001656833,0.00004851971,0.00001336666],"domain_scores_gemma":[0.999822,0.00006445074,0.00002644286,0.00001914841,0.00005917751,0.000008769936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003832758,0.00002373694,0.001116304,0.0001111203,0.00001536819,0.0002001329,0.00007338702,0.9833831,0.007827393,0.002425814,0.0006988391,0.004086528],"study_design_scores_gemma":[0.000004624585,0.00001643185,0.0004511499,0.00001031538,0.000004533179,0.00003248421,0.00001731949,0.9958085,0.001332977,0.0002375247,0.002079198,0.000004996341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4218005,0.002675226,0.4665148,0.0007832356,0.0002676952,0.0003967169,0.005792678,0.003628113,0.09814112],"genre_scores_gemma":[0.9145197,0.001303968,0.05004534,0.00008992265,0.00002991403,0.0003252228,0.002017587,0.0004632825,0.03120521],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01608915,"threshold_uncertainty_score":0.031991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06432708621940489,"score_gpt":0.2893628401644296,"score_spread":0.2250357539450248,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}